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Manager - Data Analytics.Remittance and Fintech Business Development

MTN

Posted 3 months agoJohannesburg, South Africa

Location

Johannesburg, South Africa

Job Type

Full-time

Experience

Senior

Category

Telecommunications

Job Description

The role of the Manager: Data Analytics is to automate date pipeline,structure datasets, leverage internal and, where applicable, external datasets to build and evolve, Group Fintech’s Services & Product capabilities using “best practice” methodologies and statistical techniques. Responsible to structure the datasets at both OPCO & Group level, to design and provide insights based on analytics, to structure & deliver through OPCOs the necessary reporting, to develop decision models & data-based rules in support of the strategy & plans of the product portfolio. Collate business intelligence data through public information, industry and field reports, or purchased sources, to provide outside in view to the business teams A minimum of 5 years’ experience in financial services, consulting, strategy, analytics, engineering, or related industry Minimum of 1 -2 years’ experience in an area of Data Science, at a specialist level within the financial /banking industry or telecommunications industry Proficiency in working with Python (Numpy, Scikit-learn, Pandas, Scipy, Matplotlib, Tensorflow, Keras, Seaborn, Bokeh), SAS or R / Scala for data clean up and advanced data analytics Demonstrated experience util
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Requirements

  • Education
  • 4-year Business Mathematics, Statistics, Data Science (or related) Degree
  • Master’s in business administration is advantageous
  • Experience
  • 2 - 3 years of experience in data structuration, data management, analytics, big data, and a similar environment
  • Experience working in a medium to large organization
  • Experience of working in an Agile/DevOps environment
  • Working knowledge in Hadoop, Apache Spark and related Big Data technologies (MapReduce, PIG, HIVE)
  • Highly proficient in database management systems like Postgres, Oracle, Mongo, MSSQL

Responsibilities

  • Support Fintech Analytics strategy execution in line with the overarching business and functional goals
  • Support the execution and development of data mining and analysis frameworks
  • Develop and manage models to ensure business and customer growth
  • Develop advanced quantitative modules using a variety of programs/software to support predictive assessment
  • Develop automated processes for data ingestion, transformation and visualisation
  • Develop, continuously improve, & execute an efficient framework to identify, organize, structure, make available data a
  • Provide reports and analysis to support and contribute to the development of the functional strategy in line with the overarching business goals
  • Ensure accurate and timely reporting to enable the regular review of the functional strategy, roadmap and performance to ensure its alignment with the changing dynamics of the internal and external ecosystem
  • Drive analytics & reporting roadmap forbusiness ; prioritize business insight requests to balance the tactical and strategic information needs
  • Develop and Manage models in the areas of machine learning and data sciences in building the various components of the semantics layer
  • Develop BI content - reports, dashboards, scorecards, analytic solutions supporting effective business decisions and measurement of goals and overall performance of Fintech portfolio
  • Perform complex analyses, including optimization, text analytics, machine learning, social-science modeling, and statistical analysis, parametric and non-parametric statistical models and techniques
  • Establish intuitive reporting methodologies, perform ad-hoc market analysis as required to support the functional strategy and analyze performance
  • Work with Technology teams on the development of new data capabilities & architecture to define requirements and priorities